PiotrekGa

PiotrekGa's Stars

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python137k1.1k16.4k27.5k

• ageron/handson-ml2

  A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

  Language:Jupyter Notebook28.2k65751212.8k

• CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

  aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

  Language:Jupyter Notebook27.1k1.4k2457.9k

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook23.2k2452.6k3.3k

• RasaHQ/rasa

  💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

  Language:Python19.2k3576.6k4.7k

• ddbourgin/numpy-ml

  Machine learning, in numpy

  Language:Python15.8k461503.8k

• optuna/optuna

  A hyperparameter optimization framework

  Language:Python11.2k1181.7k1.1k

• jadore801120/attention-is-all-you-need-pytorch

  A PyTorch implementation of the Transformer model in "Attention is All You Need".

  Language:Python9k971812k

• firmai/industry-machine-learning

  A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

  Language:Jupyter Notebook7.3k38521.2k

• r0f1/datascience

  Curated list of Python resources for data science.

  4.3k1432693

• nalepae/pandarallel

  A simple and efficient tool to parallelize Pandas operations on all available CPUs

  Language:Python3.7k29221214

• adambielski/siamese-triplet

  Siamese and triplet networks with online pair/triplet mining in PyTorch

  Language:Python3.1k5069636

• mljar/mljar-supervised

  Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

  Language:Python3.1k51663411

• getguesstimate/guesstimate-app

  Create Fermi Estimates and Perform Monte Carlo Estimates

  Language:TypeScript2.3k56398124

• pymc-devs/pymc-resources

  PyMC educational resources

  Language:Jupyter Notebook2k6675745

• ahmedfgad/GeneticAlgorithmPython

  Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

  Language:Python1.9k30161470

• arviz-devs/arviz

  Exploratory analysis of Bayesian models with Python

  Language:Python1.6k49864411

• zalandoresearch/pytorch-ts

  PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

  Language:Python1.3k26142197

• TheEconomist/us-potus-model

  Code for a dynamic multilevel Bayesian model to predict US presidential elections. Written in R and Stan.

  Language:HTML1.2k9927190

• bambinos/bambi

  BAyesian Model-Building Interface (Bambi) in Python.

  Language:Python1.1k30422127

• dswah/pyGAM

  [HELP REQUESTED] Generalized Additive Models in Python

  Language:Python87927264165

• aloctavodia/Statistical-Rethinking-with-Python-and-PyMC3

  Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

  Language:Jupyter Notebook8414835255

• msurtsukov/neural-ode

  Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

  Language:Jupyter Notebook718134120

• patrick-kidger/NeuralCDE

  Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)

  Language:Python63320970

• wwrechard/pydlm

  A python library for Bayesian time series modeling

  Language:Python482284998

• stared/thinking-in-tensors-writing-in-pytorch

  Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)

  Language:Jupyter Notebook3316544

• Sotera/distributed-graph-analytics

  Distributed Graph Analytics (DGA) is a compendium of graph analytics written for Bulk-Synchronous-Parallel (BSP) processing frameworks such as Giraph and GraphX. The analytics included are High Betweenness Set Extraction, Weakly Connected Components, Page Rank, Leaf Compression, and Louvain Modularity.

  Language:Java174313879

• diogomatoschaves/geneal

  A genetic algorithm implementation in python

  Language:Python6421610

• gmum/rl-crash-course

  Crash Course in Reinforcement Learning - ML in PL workshops

  Language:Jupyter Notebook18807

• tammok/CVST

  Fast Cross-Validation via Sequential Testing

  Language:R7405